Patient Empowerment Through Predictive Personalised Decision Support (PEPPER) es un projecto de investigación que desarrolla un sistema personalizado de soporte de decisiones para la autogestión de la diabetes tipo 1 (DM1). PEPPER proporciona recomendaciones en cuanto a la dosis de bolo de insulina (utilizando el razonamiento basado en casos (CBR), una técnica de inteligencia artificial que se adapta a nuevas situaciones de acuerdo con las experiencias pasadas) e ingesta de carbohidratos, basándose en un modelo informático predictivo que promueve la seguridad, proporcionando además, alarmas de predicción de glucemia, suspensión de infusión de insulina y detección de fallos. El objetivo de este proyecto es evaluar la factibilidad, la seguridad, la usabilidad y la viabilidad del sistema PEPPER.
Patient Empowerment Through Predictive Personalised Decision Support (PEPPER) és un projecte d'investigació que desenvolupa un sistema personalitzat de suport de decisions per a l'autogestió de la diabetis tipus 1 (DM1). PEPPER proporciona recomanacions pel que fa a la dosi de bolus d'insulina (utilitzant el raonament basat en casos (CBR), una tècnica d'intel·ligència artificial que s'adapta a noves situacions d'acord amb les experiències passades) i ingesta de carbohidrats, basant-se en un model informàtic predictiu que promou la seguretat, proporcionant a més, alarmes de predicció de glucèmia, suspensió d'infusió d'insulina i detecció de fallades. L'objectiu d'aquest projecte és avaluar la factibilitat, la seguretat, la usabilitat i la viabilitat del sistema PEPPER.
Background Inhibitory control (IC) is critical to keep long-term goals in everyday life. Bidirectional relationships between IC deficits and obesity are behind unhealthy eating and physical exercise habits. Methods We studied gut microbiome composition and functionality, and plasma and faecal metabolomics in association with cognitive tests evaluating inhibitory control (Stroop test) and brain structure in a discovery (n=156), both cross-sectionally and longitudinally, and in an independent replication cohort (n=970). Faecal microbiota transplantation (FMT) in mice evaluated the impact on reversal learning and medial prefrontal cortex (mPFC) transcriptomics. Results An interplay among IC, brain structure (in humans) and mPFC transcriptomics (in mice), plasma/faecal metabolomics and the gut metagenome was found. Obesity-dependent alterations in one-carbon metabolism, tryptophan and histidine pathways were associated with IC in the two independent cohorts. Bacterial functions linked to one-carbon metabolism (thyX,dut, exodeoxyribonuclease V), and the anterior cingulate cortex volume were associated with IC, cross-sectionally and longitudinally. FMT from individuals with obesity led to alterations in mice reversal learning. In an independent FMT experiment, human donor's bacterial functions related to IC deficits were associated with mPFC expression of one-carbon metabolism-related genes of recipient's mice. Conclusion These results highlight the importance of targeting obesity-related impulsive behaviour through the induction of gut microbiota shifts. ; This work was partially supported by research grants FIS (PI15/01934 and PI18/01022) from the Instituto de Salud Carlos III from Spain, SAF2015- 65878-R and #AEI-SAF2017-84060-R-FEDER from Ministry of Economy and Competitiveness, Prometeo/2018/A/133 from Generalitat Valenciana, Spain; and also by Fondo Europeo de Desarrollo Regional (FEDER) funds, European Commission (FP7, NeuroPain #2013-602891), the Catalan Government (AGAUR, #SGR2017-669, ICREA Academia Award ...